Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract title, summary, steps, related links, and last updated date from a public help center article.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Support teams use this recipe to ingest public help center pages into structured support and knowledge-base workflows. Extract article titles, summaries, steps, related links, and update dates.
Website Extraction (1 credit per website extraction)
You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.
For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.
curl -X POST https://api.iterationlayer.com/website-extraction/v1/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"file": {
"type": "url",
"url": "https://example.com/help/reset-password"
},
"schema": {
"fields": [
{
"name": "article_title",
"type": "TEXT",
"description": "Help article title"
},
{
"name": "summary",
"type": "TEXTAREA",
"description": "Short support article summary"
},
{
"name": "steps",
"type": "ARRAY",
"description": "Step-by-step instructions",
"fields": [
{
"name": "step",
"type": "TEXT",
"description": "One instruction step"
}
]
},
{
"name": "related_links",
"type": "ARRAY",
"description": "Related article links",
"fields": [
{
"name": "link",
"type": "TEXT",
"description": "Related link label or URL"
}
]
},
{
"name": "last_updated",
"type": "DATE",
"description": "Last updated date"
}
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.extractWebsite({
file: {
type: "url",
url: "https://example.com/help/reset-password",
},
schema: {
"fields": [
{
"name": "article_title",
"type": "TEXT",
"description": "Help article title"
},
{
"name": "summary",
"type": "TEXTAREA",
"description": "Short support article summary"
},
{
"name": "steps",
"type": "ARRAY",
"description": "Step-by-step instructions",
"fields": [
{
"name": "step",
"type": "TEXT",
"description": "One instruction step"
}
]
},
{
"name": "related_links",
"type": "ARRAY",
"description": "Related article links",
"fields": [
{
"name": "link",
"type": "TEXT",
"description": "Related link label or URL"
}
]
},
{
"name": "last_updated",
"type": "DATE",
"description": "Last updated date"
}
]
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.extract_website(
file={
"type": "url",
"url": "https://example.com/help/reset-password",
},
schema={
"fields": [
{
"name": "article_title",
"type": "TEXT",
"description": "Help article title"
},
{
"name": "summary",
"type": "TEXTAREA",
"description": "Short support article summary"
},
{
"name": "steps",
"type": "ARRAY",
"description": "Step-by-step instructions",
"fields": [
{
"name": "step",
"type": "TEXT",
"description": "One instruction step"
}
]
},
{
"name": "related_links",
"type": "ARRAY",
"description": "Related article links",
"fields": [
{
"name": "link",
"type": "TEXT",
"description": "Related link label or URL"
}
]
},
{
"name": "last_updated",
"type": "DATE",
"description": "Last updated date"
}
]
},
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.ExtractWebsite(il.ExtractWebsiteRequest{
File: il.UrlFileInput{
Type: "url",
Url: "https://example.com/help/reset-password",
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "article_title",
Type: "TEXT",
Description: "Help article title",
},
il.TextareaFieldConfig{
Name: "summary",
Type: "TEXTAREA",
Description: "Short support article summary",
},
il.ArrayFieldConfig{
Name: "steps",
Type: "ARRAY",
Description: "Step-by-step instructions",
Fields: []any{
il.TextFieldConfig{
Name: "step",
Type: "TEXT",
Description: "One instruction step",
},
},
},
il.ArrayFieldConfig{
Name: "related_links",
Type: "ARRAY",
Description: "Related article links",
Fields: []any{
il.TextFieldConfig{
Name: "link",
Type: "TEXT",
Description: "Related link label or URL",
},
},
},
il.DateFieldConfig{
Name: "last_updated",
Type: "DATE",
Description: "Last updated date",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract Help Center Article from Website",
"nodes": [
{
"parameters": {
"content": "## Extract Help Center Article from Website\n\nSupport teams use this recipe to ingest public help center pages into structured support and knowledge-base workflows. Extract article titles, summaries, steps, related links, and update dates.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes before importing. Self-hosted n8n only.",
"height": 280,
"width": 500,
"color": 2
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
200,
40
],
"id": "70b20598-1fe1-5def-b9ce-a7002978b11c",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Website Data\nResource: **Website Extraction**\n\nConfigure the public website URL and schema below, then connect your credentials.",
"height": 160,
"width": 320,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "90cae498-2bc1-586c-b612-b2e20ae43702",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "c92ba5a0-b1c1-5e10-b1bb-768ed57773fc",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "websiteExtraction",
"fileUrl": "https://example.com/help/reset-password",
"schemaInputMode": "rawJson",
"schemaJson": "{\"fields\":[{\"name\":\"article_title\",\"type\":\"TEXT\",\"description\":\"Help article title\"},{\"name\":\"summary\",\"type\":\"TEXTAREA\",\"description\":\"Short support article summary\"},{\"name\":\"steps\",\"type\":\"ARRAY\",\"description\":\"Step-by-step instructions\",\"fields\":[{\"name\":\"step\",\"type\":\"TEXT\",\"description\":\"One instruction step\"}]},{\"name\":\"related_links\",\"type\":\"ARRAY\",\"description\":\"Related article links\",\"fields\":[{\"name\":\"link\",\"type\":\"TEXT\",\"description\":\"Related link label or URL\"}]},{\"name\":\"last_updated\",\"type\":\"DATE\",\"description\":\"Last updated date\"}]}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
520,
300
],
"id": "1f680089-530b-5f93-b00e-ad61432abb7e",
"name": "Extract Website Data",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Website Data",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract structured data from the public website page at [website URL]. Use the extract_website tool with this schema:
- article_title (TEXT): Help article title
- summary (TEXTAREA): Short support article summary
- steps (ARRAY): Step-by-step instructions. Each item has step (TEXT)
- related_links (ARRAY): Related article links. Each item has link (TEXT)
- last_updated (DATE): Last updated date
{
"success": true,
"data": {
"article_title": {
"type": "TEXT",
"value": "Reset your password",
"confidence": 0.97,
"citations": [
"Reset your password"
],
"source": "website.html"
},
"steps": {
"type": "ARRAY",
"value": [
"Open Account Settings",
"Choose Security",
"Select Reset Password"
],
"confidence": 0.9,
"citations": [
"Open Account Settings > Security"
],
"source": "website.html"
},
"last_updated": {
"type": "DATE",
"value": "2026-03-30",
"confidence": 0.87,
"citations": [
"Updated March 30, 2026"
],
"source": "website.html"
}
}
}
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Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.